Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch.
Karl MasonJim DugganEnda HowleyPublished in: GECCO (Companion) (2017)
Keyphrases
- differential evolution
- multi objective
- evolutionary algorithm
- optimization algorithm
- multi objective optimization
- neural network
- particle swarm optimization
- multi objective optimization problems
- genetic algorithm
- nsga ii
- convergence speed
- multi objective problems
- differential evolution algorithm
- test functions
- evolution process
- artificial bee colony
- optimization method
- mutation operator
- constrained optimization problems
- particle swarm optimization pso
- evolution strategy
- particle swarm
- hybrid algorithm
- multiple objectives
- evolutionary computation
- global optimization problems
- evolutionary strategy
- optimization problems
- function optimization problems
- evolutionary programming
- premature convergence
- direct search
- objective function
- parameter optimization
- multi objective evolutionary algorithms
- back propagation
- real coded
- numerical optimization problems
- particle swarm optimization algorithm
- artificial neural networks
- genetic programming
- fitness function
- pso algorithm
- numerical optimization
- power flow
- harmony search
- simulated annealing
- swarm intelligence
- multi objective genetic algorithms
- neural network model